Björn Weghenkel

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Christof PaarMax Planck Institute for Security and Privacy, BochumVerified email at rub.de
Thomas EisenbarthUniversity of LübeckVerified email at uni-luebeck.de
Laurenz WiskottProfessor of Theory of Neural Systems, Institut für Neuroinformatik, Ruhr-Universität BochumVerified email at ini.rub.de
Asja FischerProfessor for Machine Learning, Ruhr University BochumVerified email at ini.rub.de

Björn Weghenkel

Institute for Neural Computation, Ruhr-University Bochum, Germany

Verified email at ini.rub.de - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Building a side channel based disassembler T Eisenbarth, C Paar, B Weghenkel Transactions on computational science X, 78-99, 2010	111	2010
Graph-based predictable feature analysis B Weghenkel, A Fischer, L Wiskott Machine Learning 106 (9), 1359-1380, 2017	8	2017
Slowness as a proxy for temporal predictability: An empirical comparison B Weghenkel, L Wiskott Neural computation 30 (5), 1151-1179, 2018	4	2018
Unsupervised extraction of predictable features from high-dimensional time series B Weghenkel Ruhr University Bochum, 2019		2019
Learning predictive partitions for continuous feature spaces. B Weghenkel, L Wiskott ESANN, 2014		2014
Predictable Feature Analysis (PFA) S Richthofer, B Weghenkel, L Wiskott

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Articles 1–6

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